Journal
MECHANICS OF MATERIALS
Volume 167, Issue -, Pages -Publisher
ELSEVIER
DOI: 10.1016/j.mechmat.2022.104248
Keywords
Thermomechanical process; Dynamic recrystallization; Crystal plasticity finite element method; Cellular automata model
Categories
Funding
- Korea Institute for Advancement of Technology (KIAT) - Korea Government (MOTIE) [P0002019]
- National Research Foundation (NRF) of Korea [2021M3H4A6A01045764, 2020R1A2B5B01097417]
- KIAT [N0002598]
- Institute of Metal Research, Chinese Academy of Sciences [E055A501]
- National Research Foundation of Korea [2020R1A2B5B01097417, 2021M3H4A6A01045764] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
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A microstructure-based multiscale framework was developed to study the relationship between microstructure evolution and mechanical behavior of AISI 304LN stainless steel. The model effectively combines crystal plasticity finite element method and probabilistic cellular automata approach to accurately simulate heterogeneous deformation and dynamic recrystallization. The model was validated by comparing it with experimental data, demonstrating its ability to predict flow stresses, grain sizes, DRX volume fraction, and deformed texture. The developed model also allows for examination of recrystallized grains and pole figures during the DRX process, as well as characterization of mechanical responses at the grain level.
A microstructure-based multiscale framework was developed to physically correlate the microstructure evolution and mechanical behavior of AISI 304LN stainless steel during the thermomechanical process. The developed model couples a crystal plasticity finite element method (CPFEM) to simulate heterogeneous deformation and a probabilistic cellular automata (CA) approach with a dynamic recrystallization (DRX) model to simulate microstructure evolution. Specifically, the CA model was built with formulations with physical meaning and combined with CPFEM by updating algorithms with higher robustness. The developed model was validated by comparing it with the experimental results of AISI 304LN stainless steel under thermo-mechanical processing at various temperatures and strain rates. The predicted flow stresses, grain sizes, DRX volume fraction, and deformed texture match well with the experimental data. Additionally, the developed model can simulate microstructure evolution by the DRX process, whereby the evolutions of recrystallized grains and pole figures can be examined. Moreover, the mechanical responses during the nucleation and growth of recrystallized grains can be characterized by in-depth quantitative analysis considering grain-level deformation inhomogeneity.
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